• AI Unlocked: The Data Bottleneck
    Jan 9 2025

    Generative AI is transforming industries, but its full potential is hampered by a critical bottleneck: data. This episode explores the challenges of processing unstructured data, the shift from SQL-centric to AI-centric systems, and the emerging tools that are bridging the gap between AI models and real-world data.

    This episode relies on visuals, to view the visual presentation, go to the Youtube version: https://www.youtube.com/watch?v=GnCA8VcCazY

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    25 mins
  • The Data-Centric Shift in AI: Challenges, Opportunities, and Tools
    Jan 2 2025

    Robert Nishihara is co-founder of Anyscale and co-creator of Ray, the open source project that has emerged as the AI Compute Engine.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    28 mins
  • Monthly Roundup: Semiconductors, Frontier Models, and Practical Innovations
    Dec 26 2024

    This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    49 mins
  • Breaking the Cloud Barrier: How DBOS Transforms Application Development
    Dec 19 2024

    Qian Li and Peter Kraft, co-founders at DBOS, Inc., a startup that’s building a serverless platform for building highly reliable applications. We dive into DBOS, a system built on Postgres that addresses workflow management and application durability.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    36 mins
  • The Essential Guide to AI Guardrails
    Dec 12 2024

    Shreya Rajpal serves as CEO and co-founder of Guardrails AI , where she also co-created the popular open-source project Guardrails, a Python framework designed to help developers build reliable AI applications.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    47 mins
  • Beyond ETL: How Snow Leopard Connects AI, Agents, and Live Data
    Dec 5 2024

    Deepti Srivastava is the Founder and CEO of Snow Leopard. We dive into Snow Leopard’s innovative approach to data integration, exploring its live data access model that bypasses traditional ETL pipelines to offer real-time data retrieval directly from source systems.

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    44 mins
  • 2024 Generative AI in Healthcare Survey Results
    Nov 28 2024

    Happy Thanksgiving 🎊 In this episode David Talby (CTO of John Snow Labs) and I present the results of the 2024 Generative AI in Healthcare Survey. This episode is based on a recent webinar. To follow along with the slide presentation, check out the YouTube version of the podcast.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

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    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    38 mins
  • Monthly Roundup: BAML, Tencent’s Hunyuan Model, AI & Kubernetes, and the Future of Voice AI
    Nov 21 2024

    This is our monthly conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.

    Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/

    Subscribe: AppleSpotify OvercastPocket CastsAntennaPodPodcast AddictAmazonRSS.

    Detailed show notes - with links to many references - can be found on The Data Exchange web site.

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    49 mins